seed_from_file

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses that it reads files, extracts memories based on content structure (headers/lists for markdown), and supports markdown/plain text. However, it does not mention potential side effects (e.g., duplicate detection, overwrite behavior), file size/encoding limits, or authentication requirements, leaving gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: three sentences that front-load the purpose, then explain the extraction logic and a common use case. Every sentence contributes meaningful information without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (3 parameters, output schema exists, 100% schema coverage), the description adequately covers the core functionality and use case. It explains file format support and extraction logic. However, it could mention prerequisites (file existence, readability) or potential errors, making it slightly incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the structured descriptions already document each parameter. The description adds context about the overall operation (reading file, extracting structure) but does not elaborate on parameter-specific constraints or usage beyond what the schema provides. Thus, it meets the baseline but adds no extra semantic value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Seed memories from a file', specifying the verb and resource. It distinguishes from the sibling tool seed_from_text by focusing on file input, and provides a concrete common use case (import from CLAUDE.md), making the purpose immediately understandable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains the tool reads files and extracts memories based on content structure, supporting markdown and plain text. It gives a common use case (import from documentation), which implies when to use it. However, it does not explicitly state when not to use it or compare with the alternative seed_from_text, missing a clear exclusion.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.